AI RESEARCH
Dual-Enhancement Product Bundling: Bridging Interactive Graph and Large Language Model
arXiv CS.CL
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ArXi:2604.14030v1 Announce Type: new Product bundling boosts e-commerce revenue by recommending complementary item combinations. However, existing methods face two critical challenges: (1) collaborative filtering approaches struggle with cold-start items owing to dependency on historical interactions, and (2) LLMs lack inherent capability to model interactive graph directly. To bridge this gap, we propose a dual-enhancement method that integrates interactive graph learning and LLM-based semantic understanding for product bundling. Our method